17 papers · ranked by Valyu relevance
Anastasios Lytos, Θωμάς Λάγκας, Panagiotis Sarigiannidis, Kalina Bontcheva
'Kalina Bontcheva'] Argumentation mining is a rising subject in the computational linguistics domain focusing on extracting structured arguments from natural text, often from unstructured or noisy text. The initial approaches on modeling arguments was aiming to identify a flawless argument on specific fields (Law…
Behzad Mirzababaei, Viktoria Pammer-Schindler
This article discusses the usefulness of Toulmin’s model of arguments as structuring an assessment of different types of wrongness in an argument. We discuss the usability of the model within a conversational agent that aims to support users to develop a good argument. Within the article, we present a study and the…
Ivan Habernal, Iryna Gurevych
The goal of argumentation mining, an evolving research field in computational linguistics, is to design methods capable of analyzing people's argumentation. In this article, we go beyond the state of the art in several ways. (i) We deal with actual Web data and take up the challenges given by the variety of registers…
Jincai Yang, Meng Zheng, Yingliang Liu
Argument mining (AM), an emerging field in natural language processing (NLP), aims to automatically extract arguments and the relationships between them in texts. In this study, we propose a new method for argument mining of argumentative essays. The method generates dynamic word vectors with BERT (Bidirectional…
Christopher Le
Applications in Argument Mining Authors: ['Christopher Le'] Abstract—Particularly in the structure of global discourse, coherence plays a pivotal role in human text comprehension and is a hallmark of high-quality text. This is especially true for persuasive texts, where coherent argument structures support claims…
Pietroń, Marcin, Olszowski, Rafał + 6 more
Argument mining (AM) is an interdisciplinary research field that integrates insights from logic, philosophy, linguistics, rhetoric, law, psychology, and computer science. It involves the automatic identification and extraction of argumentative components, such as premises and claims, and the detection of relationships…
Jacky Visser, John Lawrence, Chris Reed, Jean Wagemans + 1 more
'Douglas Walton'] Argument schemes are abstractions substantiating the inferential connection between premise(s) and conclusion in argumentative communication. Identifying such conventional patterns of reasoning is essential to the interpretation and evaluation of argumentation. Whether studying argumentation from a…
Abdullah Al Zubaer, Michael Granitzer, Jelena Mitrović
Generative pre-trained transformers (GPT) have recently demonstrated excellent performance in various natural language tasks. The development of ChatGPT and the recently released GPT-4 model has shown competence in solving complex and higher-order reasoning tasks without further training or fine-tuning. However, the…
Anne Lauscher, Henning Wachsmuth, Iryna Gurevych, Goran Glavaš
Despite extensive research efforts in recent years, computational argumentation (CA) remains one of the most challenging areas of natural language processing. The reason for this is the inherent complexity of the cognitive processes behind human argumentation, which integrate a plethora of different types of knowledge…
Antonis Bikakis, Giorgos Flouris, Theodore Patkos, Dimitris Plexousakis
'Dimitris Plexousakis'] The exchange of comments, opinions, and arguments in blogs, forums, social media, wikis, and review websites has transformed the Web into a modern agora, a virtual place where all types of debates take place. This wealth of information remains mostly unexploited: due to its textual form, such…
Luca Lugini, Diane Litman
This paper focuses on argument component classification for transcribed spoken classroom discussions, with the goal of automatically classifying student utterances into claims, evidence, and warrants. We show that an existing method for argument component classification developed for another educationally-oriented…
Marcin Pietroń, Rafał Olszowski, Jakub Gomułka
ChatGPT-4 refinements Authors: ['Marcin Pietroń' 'Rafał Olszowski' 'Jakub Gomułka'] Argument mining (AM) is defined as the task of automatically identifying and extracting argumentative components (e.g. premises, claims, etc.) and detecting the existing relations among them (i.e., support, attack, no relations). Deep…
Subhabrata Dutta, Dipankar Das, Tanmoy Chakraborty
Persuasion and argumentation are possibly among the most complex examples of the interplay between multiple human subjects. With the advent of the Internet, online forums provide wide platforms for people to share their opinions and reasonings around various diverse topics. In this work, we attempt to model persuasive…
Junyi Xu, Li Yao, Le Li, Hans A Kestler
Recently, ensemble learning methods have been widely used to improve classification performance in machine learning. In this paper, we present a novel ensemble learning method: argumentation based multi-agent joint learning (AMAJL), which integrates ideas from multi-agent argumentation, ensemble learning, and…
Timothy E. Chapman, Timo Laßmann
Identifying interactions between biological entities is a cornerstone of molecular research, but assembling such lists from the literature is slow and tedious. For many research questions, no curated database exists, leaving researchers to survey the relevant literature themselves. We present interaction-finder, a tool…
Luke T Slater, William Bradlow, Dino FA Motti, Robert Hoehndorf + 2 more
Negation detection is an important task in biomedical text mining. Particularly in clinical settings, it is of critical importance to determine whether findings mentioned in text are present or absent. Rule-based negation detection algorithms are a common approach to the task, and more recent investigations have…
Jérôme Dockès, Kendra Oudyk, Mohammad Torabi, Alejandro I de la Vega + 1 more
Automated analysis of the biomedical literature (literature-mining) offers a rich source of insights. However, such analysis requires collecting a large number of articles and extracting and processing their content. This task is often prohibitively difficult and time-consuming. Here, we provide tools to easily…